Senior Data Scientist analyzing data to drive customer success and business growth at Adobe. Conducting statistical analyses and collaborating with multi - functional teams for product enhancement.
About the role
- Data Science & Artificial Intelligence Lead at Uphold overseeing AI and ML initiatives for their blockchain platform. Driving business impact through innovative AI solutions and team leadership.
Responsibilities
- Technically own and execute the company-wide AI strategy, covering both in-house ML initiatives and the adoption of generative AI tools.
- Lead a team of machine learning engineers, data scientists, and AI researchers focused on delivering real business impact.
- Oversee the development, deployment, and monitoring of ML models, including those used for churn prediction, fraud detection, user segmentation, and personalization.
- Champion experimentation, causal inference, and model evaluation best practices to ensure rigor during decision making.
- Evaluate and integrate GenAI tools (e.g., ChatGPT, Gemini) to automate internal workflows, improve efficiency, and enhance user-facing experiences.
- Collaborate with Product, Engineering, Operations, Risk, and Compliance to identify high-value AI use cases and translate them into scalable solutions.
- Define best practices for responsible AI, including bias mitigation, data privacy, explainability, and governance.
- Establish platform and tooling strategy for model development, training, deployment, and monitoring at scale.
- Stay on top of advancements in the AI/ML field, guiding long-term innovation efforts and ensuring Uphold remains at the forefront.
- Mentor and grow AI talent, supporting career development and technical excellence across the team.
- Report to the executive team and board, showcasing how AI is contributing to core business goals.
- Evangelize a data-driven culture throughout Uphold’s multiple business units.
Requirements
- 8+ years of experience in data science, machine learning, or applied AI.
- 1+ years in data leadership roles, with a proven ability to scale teams and drive cross-functional data initiatives.
- Deep experience in applied machine learning, including supervised/unsupervised learning, model lifecycle management, and evaluation.
- Experience deploying models into production environments, including monitoring, retraining, and observability practices.
- Strong working knowledge of LLMs, embeddings, prompt engineering, and GenAI integrations.
- Proficiency with modern ML infrastructure, frameworks, and tools (e.g., Python, TensorFlow, PyTorch, LangChain, Weights & Biases, etc.).
- Track record of turning AI/ML solutions into business value across different domains (e.g., fraud, growth, operations, customer support).
- Excellent communication and stakeholder management skills, including experience presenting to C-level and non-technical audiences.
- Knowledge of AI governance and ethical considerations in real-world applications.
- Fluent written and oral English skills.
Benefits
- An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people who keep up innovating and challenging more each day.
- An international team, in a cutting-edge field, working on the most fascinating projects.
- Growth and career opportunities, and the chance to be proactive and creative.
- A flexible and enthusiastic work environment that offers you snacks, a lot of coffee, and other great benefits.
- Open and transparent culture - we get together on a weekly basis to share updates, and strategic plans, and engage with each other informally over food and drinks.
- Interesting events that keep you connected with the team and celebrate our success.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Scientist analyzing demand for Adobe's products. Collaborating with marketing teams to enhance customer experiences and improve campaign performance.
Senior Data Scientist in a hybrid role focusing on AI Readiness and solutions delivery for clients. Mentoring junior data scientists while managing client engagements and project execution.
Senior Health Data Scientist leading complex data extraction and modeling for healthcare solutions at Inovalon. Collaborating with multidisciplinary teams to deliver data - driven insights.
Data Scientist developing machine learning solutions and delivering insights for operational decisions. Collaborating with stakeholders to apply analytical techniques and improve business outcomes.
Data Scientist responsible for modeling and analyzing credit risk at CAIXA Consórcio. Utilizing data - driven insights to support strategic decision - making in credit operations.
Data Scientist optimizing payments ecosystem for Preply, enhancing user experience through data - driven insights. Collaborating with teams to improve payment processes and fraud management.
Staff Data Scientist at Preply developing data strategies for product domains. Collaborating with executives to drive long - term strategy and experimentation frameworks.
BA
Data Manager leading data strategy and governance for Global Payments Solutions at Bank of America. Managing data architecture aligning with business and regulatory needs while overseeing complex data ecosystems.
Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.